Optimized workforce scheduling in bus transit companies

Kimmo Nurmi, Jari Kyngas, Zheng Yun Zhuang, Nico Kyngas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Workforce scheduling has become increasingly important for both the public sector and private companies. Optimized shifts and rosters lower costs, utilize resources more effectively and ensure fairer workloads and distribution of shifts. This paper presents our work with workforce scheduling in bus transit companies. We present the workforce scheduling process in these companies and give an example of an optimized real-world staff rostering instance. We also give an outline of the PEAST algorithm which we use to tackle workforce scheduling problems. The algorithm has been successfully used to solve workforce scheduling problems in Finnish bus transit companies. The algorithm has been integrated into market-leading workforce management software in Finland.

Original languageEnglish
Title of host publicationProceedings - 2013 4th Global Congress on Intelligent Systems, GCIS 2013
PublisherIEEE Computer Society
Pages301-305
Number of pages5
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 4th Global Congress on Intelligent Systems, GCIS 2013 - Hong Kong, China
Duration: Dec 3 2013Dec 4 2013

Conference

Conference2013 4th Global Congress on Intelligent Systems, GCIS 2013
CountryChina
CityHong Kong
Period12/3/1312/4/13

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Keywords

  • metaheuristics
  • PEAST-algorithm
  • real-world scheduling
  • workforce scheduling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Nurmi, K., Kyngas, J., Zhuang, Z. Y., & Kyngas, N. (2013). Optimized workforce scheduling in bus transit companies. In Proceedings - 2013 4th Global Congress on Intelligent Systems, GCIS 2013 (pp. 301-305). [6805952] IEEE Computer Society. https://doi.org/10.1109/GCIS.2013.55